JP7038151B2 - 軌跡分類モデルのトレーニング方法及び装置、電子機器 - Google Patents

軌跡分類モデルのトレーニング方法及び装置、電子機器 Download PDF

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JP7038151B2
JP7038151B2 JP2020002744A JP2020002744A JP7038151B2 JP 7038151 B2 JP7038151 B2 JP 7038151B2 JP 2020002744 A JP2020002744 A JP 2020002744A JP 2020002744 A JP2020002744 A JP 2020002744A JP 7038151 B2 JP7038151 B2 JP 7038151B2
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エンヤン・バイ
ケディ・チェン
ミャオ・ジョウ
クァン・メン
ウェイ・ワン
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    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
    • G05D1/02—Control of position or course in two dimensions
    • G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
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    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
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Families Citing this family (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111046303A (zh) * 2019-11-20 2020-04-21 北京文安智能技术股份有限公司 一种热点区域的自动检测方法、装置及系统
CN110941278B (zh) * 2019-12-20 2023-05-23 交控科技股份有限公司 一种站内动态安全分析方法
US11455893B2 (en) * 2020-03-12 2022-09-27 The Boeing Company Trajectory classification and response
CN113742634A (zh) * 2020-05-27 2021-12-03 华为技术有限公司 轨迹点滤选方法及装置、存储介质
KR102290564B1 (ko) * 2020-11-25 2021-08-18 한국전자기술연구원 자율주행 차량의 경로 추종 안정화를 위한 분산 칼만필터 기반 주행 경로 필터링 방법
CN112465869B (zh) * 2020-11-30 2023-09-05 杭州海康威视数字技术股份有限公司 一种轨迹关联方法、装置、电子设备及存储介质
CN112598767B (zh) * 2020-12-29 2024-05-10 厦门市美亚柏科信息股份有限公司 基于时空大数据的轨迹行为分析方法、终端设备及存储介质
CN112699942B (zh) * 2020-12-30 2024-08-02 东软睿驰汽车技术（沈阳）有限公司 一种运营车辆识别方法、装置、设备及存储介质
CN113033828B (zh) * 2021-04-29 2022-03-22 江苏超流信息技术有限公司 模型训练方法、使用方法、系统、可信节点及设备
CN113254570B (zh) * 2021-07-15 2021-10-01 浙江网商银行股份有限公司 数据识别方法以及装置
CN114022642B (zh) * 2021-10-08 2022-07-19 北京津发科技股份有限公司 时空行为轨迹采集、生成方法、装置、设备、系统及存储介质
CN114707567A (zh) * 2022-02-08 2022-07-05 高德软件有限公司 轨迹分类方法、轨迹分类模型训练方法及计算机程序产品
CN118134962B (zh) * 2024-05-08 2024-09-13 中国人民解放军国防科技大学 一种高空抛物的检测方法、电子设备及存储介质

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1929530A (zh) 2005-09-09 2007-03-14 株式会社理光 图像质量预测方法和设备以及故障诊断系统
JP2012008659A (ja) 2010-06-22 2012-01-12 Sony Corp データ処理装置、データ処理方法、およびプログラム
JP2012123749A (ja) 2010-12-10 2012-06-28 Shiseido Co Ltd 感性推測装置、感性推測方法、及び感性推測プログラム
CN107705183A (zh) 2017-09-30 2018-02-16 深圳乐信软件技术有限公司 一种商品的推荐方法、装置、存储介质及服务器
CN109634820A (zh) 2018-11-01 2019-04-16 华中科技大学 一种云端移动端协同的故障预警方法、相关设备及系统

Family Cites Families (22)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8855361B2 (en) * 2010-12-30 2014-10-07 Pelco, Inc. Scene activity analysis using statistical and semantic features learnt from object trajectory data
KR101330049B1 (ko) * 2012-03-06 2013-11-18 한국기계연구원 3차원 특징점 기반 직접 교시 궤적 후보정 방법
US8939081B1 (en) * 2013-01-15 2015-01-27 Raytheon Company Ladar backtracking of wake turbulence trailing an airborne target for point-of-origin estimation and target classification
KR101886033B1 (ko) 2014-10-10 2018-08-07 에스케이텔레콤 주식회사 사용자 동작 정의 방법 및 이를 적용한 동작 인식 장치
US10163000B2 (en) * 2015-01-14 2018-12-25 Samsung Electronics Co., Ltd. Method and apparatus for determining type of movement of object in video
CN105598965B (zh) * 2015-11-26 2018-03-16 哈尔滨工业大学 基于立体视觉的机器人欠驱动手自主抓取方法
CN106314438B (zh) * 2016-08-15 2018-09-25 西北工业大学 一种司机驾驶轨迹中异常轨迹的检测方法和系统
CN106774312B (zh) * 2016-12-05 2020-04-28 遨博（北京）智能科技有限公司 一种为移动机器人确定移动轨迹的方法和装置
US10809376B2 (en) * 2017-01-06 2020-10-20 Massachusetts Institute Of Technology Systems and methods for detecting objects in underwater environments
EP3358303B1 (en) * 2017-02-07 2021-09-01 HERE Global B.V. An apparatus and associated methods for use in updating map data
JP6722280B2 (ja) * 2017-06-22 2020-07-15 バイドゥドットコム タイムズ テクノロジー （ベイジン） カンパニー リミテッドＢａｉｄｕ．ｃｏｍ Ｔｉｍｅｓ Ｔｅｃｈｎｏｌｏｇｙ （Ｂｅｉｊｉｎｇ） Ｃｏ．， Ｌｔｄ． 自律走行車の交通予測における予測軌跡の評価フレームワーク
CN107463940B (zh) * 2017-06-29 2020-02-21 清华大学 基于手机数据的车辆类型识别方法和设备
CN107241697A (zh) * 2017-06-30 2017-10-10 北京奇虎科技有限公司 用于移动终端的用户行为确定方法、装置及移动终端
CN107451233B (zh) * 2017-07-25 2020-02-18 南京师范大学 时间属性优先的时空轨迹数据文件在辅助存储设备中的存储方法
JP7087316B2 (ja) * 2017-09-27 2022-06-21 オムロン株式会社 情報処理装置、情報処理方法およびプログラム
CN107714038A (zh) * 2017-10-12 2018-02-23 北京翼石科技有限公司 一种脑电信号的特征提取方法及装置
CN107766852A (zh) * 2017-12-06 2018-03-06 电子科技大学 一种基于卷积神经网络的人机鼠标轨迹检测方法
CN109034181A (zh) * 2018-06-05 2018-12-18 广州杰赛科技股份有限公司 移动轨迹的分类方法和装置、设备、存储介质
CN109033793A (zh) * 2018-07-11 2018-12-18 北京京东金融科技控股有限公司 滑动验证码人机识别方法及装置、电子设备及可读介质
CN108788560A (zh) * 2018-08-08 2018-11-13 经略智能科技（苏州）有限公司 基于XGBoost机器学习模型的焊接系统
CN109299744A (zh) * 2018-10-19 2019-02-01 合肥非度信息技术有限公司 合同公章分类模型的训练方法、系统和识别方法、系统
KR102123180B1 (ko) 2019-02-01 2020-06-16 (주)타마스 중공축을 갖는 모터

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1929530A (zh) 2005-09-09 2007-03-14 株式会社理光 图像质量预测方法和设备以及故障诊断系统
JP2012008659A (ja) 2010-06-22 2012-01-12 Sony Corp データ処理装置、データ処理方法、およびプログラム
JP2012123749A (ja) 2010-12-10 2012-06-28 Shiseido Co Ltd 感性推測装置、感性推測方法、及び感性推測プログラム
CN107705183A (zh) 2017-09-30 2018-02-16 深圳乐信软件技术有限公司 一种商品的推荐方法、装置、存储介质及服务器
CN109634820A (zh) 2018-11-01 2019-04-16 华中科技大学 一种云端移动端协同的故障预警方法、相关设备及系统

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
ボレガラ ダヌシカ，ウェブデータの機械学習 Machine Learning of Web Data，日本，株式会社講談社，2016年08月24日，39-42，ISBN: 978-4-06-152918-2

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KR20200122987A (ko) 2020-10-28
US11599825B2 (en) 2023-03-07
CN109961106B (zh) 2022-03-18
US20200334571A1 (en) 2020-10-22
JP2020177645A (ja) 2020-10-29
KR102350711B1 (ko) 2022-01-13

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